news
| Jul 16, 2026 | 🎉 The full PiVoT paper is now on arXiv, with complete technical details and a major upgrade for efficiently handling Doppler point-cloud data! Want to see how a real-time, fully training-free joint detector and tracker stacks up against a deep-learning detection benchmark on a full-scale modern automotive radar dataset? Read the paper and explore the automotive radar, maritime surveillance, dense-clutter and thousand-object tracking demos on the PiVoT project page. |
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| Jun 17, 2026 | I was delighted to deliver a lecture on multi-target tracking at the Dstl–SPADS Signal Processing Summer School 2026, together with Dr Murat Üney and Prof James Hopgood. |
| Mar 23, 2026 | It was a pleasure to give a talk on PiVoT at the UoE Statistics Seminar, hosted by the School of Mathematics, University of Edinburgh. |
| Apr 08, 2025 | 🚀 Get a sneak peek at our new multi-object tracker, PiVoT! PiVoT is a project I’ve led as the main developer, combining non-trivial technical work with strong empirical performance. It efficiently detects and tracks a large, varying number of objects, estimating their shapes, existence probabilities, and more. PiVoT outperforms existing Poisson measurements-based trackers in accuracy and efficiency across diverse scenes, and notably, enables reliable real-time tracking in highly challenging settings, such as dense clutter or tracking a thousand closely spaced objects in under a second on a standard laptop without gating. 👉 Explore PiVoT and watch demos |
| Apr 03, 2025 | Together with Dr Qing Li and Prof Simon Godsill, I will be co-organising a special session on Advances in Sensor Fusion and Distributed Learning at the 2025 IEEE Statistical Signal Processing Workshop (8–11 June, Edinburgh). More details here. Hope to see you there! |